Segment · Tech-enabled services · 20–500 people

AI Consulting for Tech-Enabled Services Firms

Growth in a services business usually costs headcount. The work here is to find where delivery loses margin invisibly — then use process redesign and appropriately applied AI to take cost out of coordination, not out of judgement.

Where the margin actually goes

In most services firms the expensive problems are unbilled scope drift, capacity planning held together by one spreadsheet, reporting assembled by hand, and knowledge that lives in senior people's heads. None of those are fixed by buying an AI tool. They are fixed by redesigning the workflow first and applying AI to the parts that are genuinely repetitive.

Six places margin leaks.

Scoping to delivery

Where scope gets agreed, where it silently changes, and how much unbilled work that gap creates each month.

Utilization and capacity

Whether capacity planning is a spreadsheet reconciled weekly by one person, and what that person is not doing instead.

Client reporting

How many hours per month go to assembling reports clients skim — and how much of that is genuinely automatable.

Knowledge handoff

What happens when a senior person leaves an account, and how much delivery quality depends on memory rather than system.

Pricing and margin

Which engagement types quietly lose money, and whether leadership can see that before the quarter closes.

Repeatable offer design

Turning bespoke delivery into productized offers with named outputs — the single biggest lever on scaling a services business.

Fit

Who this is for — and who it isn't.

Good fit

  • 20–500 people, delivering complex work through multiple teams
  • Growth currently requires proportional headcount
  • Leadership can see margin pressure but not its exact source
  • Willingness to productize and standardize delivery

Not a fit

  • Firms looking to replace delivery staff with automation
  • Buyers who want a tool implemented against a fixed spec
  • Organizations unwilling to change how scoping or reporting works
  • Anyone expecting guaranteed percentage savings before a baseline exists

Common questions from services leaders

How does AI help a services business without cheapening the work?

By removing the parts of delivery that clients never see and never valued: re-typing context, rebuilding the same deck, chasing status, reconciling notes. Margin comes from taking cost out of the invisible work, not from automating the judgement clients pay for.

Our delivery depends on senior people. Can this actually scale?

The constraint is usually that senior judgement is buried inside undocumented workflows. The diagnostic separates the judgement from the coordination, then targets the coordination — which is where AI and process redesign are reliable.

What changes in the first 90 days?

Typically one delivery workflow gets redesigned end to end, one repeated leadership decision moves out of chat threads into a standing packet, and one AI opportunity ships with a measurement attached. Nothing is promised as a percentage improvement before we have your baseline.

Find the leak before you buy anything.

Take the free Friction Score, read the playbook, or book a free 20-minute call.